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Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma

Normal adjacent tissues (NATs) of hepatocellular carcinoma (HCC) differ from healthy liver tissues and their heterogeneity may contain biological information associated with disease occurrence and clinical outcome that has yet to be fully evaluated at the proteomic level. This study provides a detai...

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Autores principales: Zhu, Hongwen, Lin, Youpei, Lu, Dayun, Wang, Shisheng, Liu, Yuejia, Dong, Liangqing, Meng, Qian, Gao, Jing, Wang, Yuqiu, Song, Nixue, Suo, Yuying, Ding, Li, Wang, Pei, Zhang, Bing, Gao, Daming, Fan, Jia, Gao, Qiang, Zhou, Hu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416816/
https://www.ncbi.nlm.nih.gov/pubmed/37575948
http://dx.doi.org/10.1093/nsr/nwad167
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author Zhu, Hongwen
Lin, Youpei
Lu, Dayun
Wang, Shisheng
Liu, Yuejia
Dong, Liangqing
Meng, Qian
Gao, Jing
Wang, Yuqiu
Song, Nixue
Suo, Yuying
Ding, Li
Wang, Pei
Zhang, Bing
Gao, Daming
Fan, Jia
Gao, Qiang
Zhou, Hu
author_facet Zhu, Hongwen
Lin, Youpei
Lu, Dayun
Wang, Shisheng
Liu, Yuejia
Dong, Liangqing
Meng, Qian
Gao, Jing
Wang, Yuqiu
Song, Nixue
Suo, Yuying
Ding, Li
Wang, Pei
Zhang, Bing
Gao, Daming
Fan, Jia
Gao, Qiang
Zhou, Hu
author_sort Zhu, Hongwen
collection PubMed
description Normal adjacent tissues (NATs) of hepatocellular carcinoma (HCC) differ from healthy liver tissues and their heterogeneity may contain biological information associated with disease occurrence and clinical outcome that has yet to be fully evaluated at the proteomic level. This study provides a detailed description of the heterogeneity of NATs and the differences between NATs and healthy livers and revealed that molecular features of tumor subgroups in HCC were partially reflected in their respective NATs. Proteomic data classified HCC NATs into two subtypes (Subtypes 1 and 2), and Subtype 2 was associated with poor prognosis and high-risk recurrence. The pathway and immune features of these two subtypes were characterized. Proteomic differences between the two NAT subtypes and healthy liver tissues were further investigated using data-independent acquisition mass spectrometry, revealing the early molecular alterations associated with the progression from healthy livers to NATs. This study provides a high-quality resource for HCC researchers and clinicians and may significantly expand the knowledge of tumor NATs to eventually benefit clinical practice.
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spelling pubmed-104168162023-08-12 Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma Zhu, Hongwen Lin, Youpei Lu, Dayun Wang, Shisheng Liu, Yuejia Dong, Liangqing Meng, Qian Gao, Jing Wang, Yuqiu Song, Nixue Suo, Yuying Ding, Li Wang, Pei Zhang, Bing Gao, Daming Fan, Jia Gao, Qiang Zhou, Hu Natl Sci Rev Research Article Normal adjacent tissues (NATs) of hepatocellular carcinoma (HCC) differ from healthy liver tissues and their heterogeneity may contain biological information associated with disease occurrence and clinical outcome that has yet to be fully evaluated at the proteomic level. This study provides a detailed description of the heterogeneity of NATs and the differences between NATs and healthy livers and revealed that molecular features of tumor subgroups in HCC were partially reflected in their respective NATs. Proteomic data classified HCC NATs into two subtypes (Subtypes 1 and 2), and Subtype 2 was associated with poor prognosis and high-risk recurrence. The pathway and immune features of these two subtypes were characterized. Proteomic differences between the two NAT subtypes and healthy liver tissues were further investigated using data-independent acquisition mass spectrometry, revealing the early molecular alterations associated with the progression from healthy livers to NATs. This study provides a high-quality resource for HCC researchers and clinicians and may significantly expand the knowledge of tumor NATs to eventually benefit clinical practice. Oxford University Press 2023-06-02 /pmc/articles/PMC10416816/ /pubmed/37575948 http://dx.doi.org/10.1093/nsr/nwad167 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhu, Hongwen
Lin, Youpei
Lu, Dayun
Wang, Shisheng
Liu, Yuejia
Dong, Liangqing
Meng, Qian
Gao, Jing
Wang, Yuqiu
Song, Nixue
Suo, Yuying
Ding, Li
Wang, Pei
Zhang, Bing
Gao, Daming
Fan, Jia
Gao, Qiang
Zhou, Hu
Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma
title Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma
title_full Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma
title_fullStr Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma
title_full_unstemmed Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma
title_short Proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma
title_sort proteomics of adjacent-to-tumor samples uncovers clinically relevant biological events in hepatocellular carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416816/
https://www.ncbi.nlm.nih.gov/pubmed/37575948
http://dx.doi.org/10.1093/nsr/nwad167
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